Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek-V3.2-Exp
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27

DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
6 months newer
Performance Metrics
Context window and performance specifications

DeepSeek-V3.2-Exp

Qwen2.5-Omni-7B
Average performance across 57 common benchmarks

DeepSeek-V3.2-Exp

Qwen2.5-Omni-7B
Performance comparison across key benchmark categories

DeepSeek-V3.2-Exp

Qwen2.5-Omni-7B
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3.2-Exp
Novita
ZeroEval

Qwen2.5-Omni-7B

DeepSeek-V3.2-Exp

Qwen2.5-Omni-7B